Working the past few years in both data science and data engineering projects, I have gained pretty good understanding to answer that question.

There is a common misunderstanding, that you could work efficiently in the both data scientist and data engineer roles simultaneously. Even though some of the skills are mutual, both roles cover way too many topics to focus at the same time thoroughly.

Here are all my posts about data science and analytics.

Data engineer creates value by tuning the system and making the data available

My data engineering experience is mostly from projects where the data should be moved from the source systems to a data platform in the cloud…